Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
Transplant Cell Ther. 2021 Oct;27(10):875.e1-875.e9. doi: 10.1016/j.jtct.2021.06.021. Epub 2021 Jun 30.
Poor physical functioning is associated with adverse outcomes after allogeneic hematopoietic cell transplantation (alloHCT). Analytic tools to predict mortality in alloHCT recipients include the HCT Comorbidity Index (HCT-CI) based on comorbidities and the Disease Risk Index (DRI) based on disease and disease status. We developed and replicated a risk model for overall survival (OS), early mortality (ie, death from any cause at or before day +100), initial hospital length of stay (LOS), and percentage of inpatient days within the first year post-alloHCT. In this study, we incorporated a physical therapy (PT) assessment with the HCT-CI and DRI to improve outcome predictions. The well-defined and feasible measure of functional status for assessing risk includes (1) the number of sit-to-stands performed in 30 seconds, (2) performance of 25 step-ups on the right/left side with (3) oxygen saturation recovery and (4) heart rate recovery, (5) weight-bearing ability, (6) assistance with ambulation, (7) motor and grip strength, (8) sensory and coordination impairment (eg, self-reported peripheral neuropathy, imbalance), (9) self-reported pain, and (10) limited endurance (ie, inability to complete step-ups and/or sit-to-stands). Our training cohort (TC) included 349 consecutive alloHCT recipients at Roswell Park treated between 2010 and 2016 and a subsequent replication cohort (RC; n = 163) treated between 2016 and 2019. Four of the 10 metrics-self-reported pain, limited endurance, self-reported neuropathy, and <10 sit-to-stands in 30 seconds-were identified as significant predictors and were included in the multivariable models with the HCT-CI and DRI to create a new risk index (HCT-PCDRI: HCT-physical, comorbidity, and DRI) for outcomes. Models were tested in the RC. Shorter OS was associated with self-reported pain, limited endurance, higher HCT-CI, and higher DRI. At a median follow-up of 34 months, the 3-year OS based on the HCT-PCDRI was 30% for the very-high-risk group, 54% for the high-risk group, 49% for the intermediate-risk group, and 80% for the low-risk group. The number of patients identified as very high risk increased from 55 using HCT-CI alone to 120 with the new HCT-PCDRI, whereas the number in the low-risk group decreased from 91 to 45. Early mortality and a higher percentage of inpatient days within the first year post-alloHCT (a proxy for poor quality of life and high healthcare utilization) were associated with self-reported pain, higher HCT-CI, and higher DRI. A shorter initial LOS (ie, initial low healthcare utilization) was associated with performance of >10 sit-to-stands in 30 seconds, no self-reported neuropathy, and lower HCT-CI. These PT metrics combined with the HCT-CI and DRI created the HCT-PCDRI, which resulted in more patients being categorized accurately as high risk versus low risk. The HCT-PCDRI results were replicated in an independent cohort. Pre-alloHCT PT metrics with self-reported symptoms (pain and neuropathy) were associated with survival post-alloHCT and prolonged hospital LOS. The HCT-PCDRI scoring system for risk stratification of alloHCT recipients more accurately identifies patients at potential risk of poor outcomes. The HCT-PCDRI can be tested in <15 minutes to identify patients for intervention before or during treatment to potentially improve outcomes.
身体机能不佳与异基因造血细胞移植(alloHCT)后的不良结局相关。用于预测 alloHCT 受者死亡率的分析工具包括基于合并症的 HCT 合并症指数(HCT-CI)和基于疾病和疾病状态的疾病风险指数(DRI)。我们开发并复制了一个用于总体生存(OS)、早期死亡率(即在+100 天或之前因任何原因死亡)、初始住院时间(LOS)和 alloHCT 后第一年住院天数百分比的风险模型。在这项研究中,我们将物理治疗(PT)评估与 HCT-CI 和 DRI 相结合,以提高结果预测。用于评估风险的明确且可行的功能状态测量包括:(1)在 30 秒内完成的坐立次数,(2)在右侧/左侧进行的 25 次台阶上升,(3)氧饱和度恢复和(4)心率恢复,(5)承重能力,(6)辅助行走,(7)运动和握力,(8)感觉和协调障碍(例如,自我报告的周围神经病、失衡),(9)自我报告的疼痛,(10)有限的耐力(即无法完成台阶上升和/或坐立)。我们的训练队列(TC)包括罗切斯特公园的 349 名连续接受 alloHCT 治疗的患者,他们在 2010 年至 2016 年之间接受治疗,随后的复制队列(RC;n=163)在 2016 年至 2019 年之间接受治疗。在 10 项指标中,有 4 项(自我报告的疼痛、有限的耐力、自我报告的周围神经病和 30 秒内完成的坐立次数<10 次)被确定为显著预测因子,并与 HCT-CI 和 DRI 一起纳入多变量模型,创建一个新的风险指数(HCT-PCDRI:HCT-身体、合并症和 DRI),用于预测结果。模型在 RC 中进行了测试。较短的 OS 与自我报告的疼痛、有限的耐力、较高的 HCT-CI 和较高的 DRI 相关。在中位随访 34 个月时,根据 HCT-PCDRI,极高风险组的 3 年 OS 为 30%,高风险组为 54%,中风险组为 49%,低风险组为 80%。使用 HCT-CI 单独识别为极高风险的患者人数从 55 人增加到 120 人,而低风险组的患者人数从 91 人减少到 45 人。早期死亡率和 alloHCT 后第一年更高的住院天数百分比(代表生活质量差和高医疗保健利用率)与自我报告的疼痛、更高的 HCT-CI 和更高的 DRI 相关。较短的初始 LOS(即初始低医疗保健利用率)与 30 秒内完成>10 次坐立、无自我报告的周围神经病和较低的 HCT-CI 相关。这些 PT 指标与 HCT-CI 和 DRI 相结合创建了 HCT-PCDRI,使更多的患者被准确地归类为高风险与低风险。HCT-PCDRI 结果在独立队列中得到复制。alloHCT 前的 PT 指标与自我报告的症状(疼痛和周围神经病)与 alloHCT 后生存和延长的住院 LOS 相关。用于 alloHCT 受者风险分层的 HCT-PCDRI 评分系统更准确地识别出潜在不良结局风险较高的患者。HCT-PCDRI 可以在不到 15 分钟内进行测试,以在治疗前或治疗期间识别出需要干预的患者,从而有可能改善结果。